Bhovix LabStart a pilot

Plate 01 Self-healing system

Systems that keep working.

I build AI agents, business workflows and self-healing cloud systems. You get a working pilot in about 14 days, on your real data.

Send me one manual taskSee WARDEN
  • Fixed price
  • Any AI model
  • Any cloud
  • You own the custom code
A system that heals itselfData flows from input, through an AI agent and a service, to output. The service fails. Traffic takes a backup path. The service is rebuilt and the result is checked.
  1. 01 Fault found
  2. 02 Traffic rerouted
  3. 03 Part rebuilt
  4. 04 Result checked

Plates 02–05 What I build

Four kinds of system. One way of working.

Each system does one clear job. Each one has checks, approvals and tests before it goes live.

Plate 02

Agents that do one job well.

Support triage, booking, sales follow-up and internal assistants. The agent asks a person before any important action.

Example A support agent reads each ticket, finds the order, writes the reply and waits for your OK.

Plate 03

Your apps, connected.

I connect your CRM, accounting, e-commerce, email and databases. Data moves by itself. Nobody copies and pastes.

Example A new order creates the invoice, updates the stock and tells the right team.

Plate 04

Paper in, clean data out.

Invoices, PDFs, forms and scans become checked data in your system. Unclear fields go to a person.

Example Supplier invoices are read, matched to purchase orders and posted. Exceptions are flagged.

Plate 05

Cloud that fixes itself, safely.

When an alert starts, the system finds the cause and proposes one safe fix. It applies the fix after approval, checks the result and can undo it.

Example This is how WARDEN works. You can read its code today.

Plate 06 How a build works

From one call to a running system.

You see working software early. You pay in clear, fixed parts.

  1. 0115 minutes

    Call

    You show me the manual task. I ask about your data and your tools.

  2. 022 days

    Plan

    You get a fixed price, a written scope and clear acceptance tests.

  3. 03about 14 days

    Pilot

    A working pilot runs on your real data in a safe test space.

  4. 04sprints

    Production

    We add the edge cases and connect the rest. Each sprint has its own fixed price.

  5. 0530 days

    Handover

    You get the code, the documents and a short video. I fix bugs free for 30 days.

Pilots from $1,500

Fixed price for each part. One part to start. The rest when the acceptance tests pass.

Plate 07 Safety by design

The AI proposes. Rules and people decide.

AI is fast, but it can be wrong. So every system I build follows the same eight steps.

  1. 01

    Guard

    Every input is checked for hidden instructions.

  2. 02

    Propose

    The AI suggests one action from a fixed list.

  3. 03

    Check

    Plain rules, not the AI, decide if the action is allowed.

  4. 04

    Approve

    A person approves each important action.

  5. 05

    Act

    The system applies the change one time.

  6. 06

    Verify

    It checks that the problem is gone.

  7. 07

    Undo

    If the problem stays, it reverts the change.

  8. 08

    Record

    Every step is signed and kept.

Plate 08 Proof

Open source. Read the code.

These are my own systems. They are public, so you can check how I build. Client case studies follow.

WARDEN

An open-source AI on-call engineer for AWS.

An alarm comes in. WARDEN reads the evidence. The AI proposes one fix from a fixed list. Plain rules decide if the fix is allowed. The fix is applied only after approval. Then WARDEN checks the result, undoes the fix if needed and signs every step.

  • Temporal
  • Meta Prompt Guard
  • Claude
  • AWS
  • Apache-2.0
Read the WARDEN code

Helios

See what breaks before you apply Terraform.

A Rust and Z3 engine. It simulates a failure on your AWS design and shows which services break, before the change goes live. Any fix that an AI proposes is checked again by the engine.

  • Rust
  • Z3
  • Terraform
  • Apache-2.0
Read the Helios code

Plate 09 Who builds it

One builder. You talk to the person who writes your system.

I am Veera Rakesh Kethari. Bhovix Lab is my independent studio.

Before this, I was a DevOps engineer at Winmore. I built its first Terraform estate: five AWS environments and more than 1,000 resources. I closed SOC 2 Type II findings. I led incident analysis on Datadog, Grafana and CloudWatch.

Now I use that production experience to build AI systems that are safe to run every day.

Plate 10 Questions

Before you write to me.

Who owns the code?

You own all custom code after the final payment. I keep my reusable base parts and give you a licence to use them.

Is my data safe?

The system runs in your own cloud account. I use test data during the build when I can. Sensitive values are masked before any AI model sees them.

Which AI model do you use?

The model that fits your task, your budget and your privacy needs: Claude, OpenAI, Gemini or a private open-source model.

What if the pilot does not work?

The scope has written acceptance tests. You pay the second part only when the pilot passes them.

How do we work together?

Mostly in writing and with short videos. Calls are short and planned. I work from India (IST). My day overlaps with business hours in Europe and with the US morning.

How do I pay?

By bank transfer in USD, EUR or GBP. You get a proper invoice for each payment.

Plate 11 Start

Send me one manual task.

Tell me what takes your team hours each week. I reply within one working day with a first idea and a price range.

Message me on LinkedIn